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About the Role

We are seeking an experienced Analytics Engineer to join our Supply Chain Data Strategy team. In this hands-on role, you will partner closely with the IT Data Engineering team and the upstream Operational business owners to design and build scalable data pipelines, models, and dashboards that give supply chain leaders visibility into business health metrics such as spend, lead times, and on-time performance across the network. You will serve as the technical bridge between raw supply chain data and the leadership decisions by turning messy, fragmented data into trusted, actionable insight. This role reports to the Head of Supply Chain Data Strategy.

Responsibilities

Design, build, and maintain data pipelines that ingest and transform supply chain data from ERP, procurement, logistics, and planning systems into analytics-ready datasets.
Develop dashboards and reporting tools (e.g., Tableau, Power BI, Looker or 1P platforms) that track key supply chain KPIs such as lead time, supplier performance, spend, inventory, and capacity utilization.
Build and maintain data models that support forecasting, scenario planning, and network capacity analysis.
Partner with Master Data Governance to ensure analytics are built on clean, well-governed item, vendor, and location data.
Collaborate with Procurement, Logistics, Warehousing, Planning, and DC Ops teams to translate business questions into analytical solutions.
Automate recurring reporting processes to reduce manual effort and improve data accuracy and timeliness.
Identify data quality issues and gaps in existing systems, and work cross-functionally to resolve root causes.
Support supply chain projects (ERP implementations, system upgrades, migrations) as the analytics and reporting workstream lead.
Present analytical findings and recommendations to senior leadership in a clear, actionable format.
Continuously evaluate and recommend new tools, technologies, and best practices to improve the team’s analytics capabilities.

Requirements

8-12 years of hands-on experience in data analytics, analytics engineering, or business intelligence within a supply chain, procurement, or operations environment.
Strong proficiency in SQL and experience with a modern data warehouse (Snowflake, BigQuery, Redshift, or similar).
Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, Fivetran, or equivalent.
Proficiency with a BI/visualization tool (Tableau, Power BI, Looker or 1P platform) and a track record of building dashboards that leadership actually uses.
Working knowledge of Python or another scripting language for data manipulation and automation.
Familiarity with supply chain data domains: materials/items, vendors, purchase orders, logistics, Quality and inventory.
Proficiency in or exposure to ERP systems (SAP S/4HANA, SAP ECC, Oracle NetSuite, or equivalent).
Solid analytical skills with the ability to perform root cause analysis and translate data into a clear business narrative.
Excellent communication skills; ability to present complex data concepts to non-technical audiences.
Experience with data quality and governance tools (Informatica, Collibra, Alation, Atlan, or similar).
Experience applying agentic AI/LLM-based tools to analytics workflows (e.g., building or using AI agents for automated data QA, natural-language querying of supply chain data, self-serve reporting, or pipeline monitoring).
Experience building forecasting or optimization models for supply chain or logistics networks.
Experience supporting global supply chain operations in Data Center Build.
Familiarity with statistics or machine learning techniques applied to operational data.
Project management experience (PMP or Agile certification a plus).
This position requires access to export controlled information. Applicant must be a U.S. person or eligible to access export controlled information without authorization.

Skills

SQL
Snowflake
BigQuery
Redshift
dbt
Airflow
Fivetran
Tableau
Power BI
Looker
Python
SAP S/4HANA
SAP ECC
Oracle NetSuite
Informatica
Collibra
Alation
Atlan

Location

Sunnyvale, CA
Livingston, NJ
Dallas, TX
Bellevue, WA

Work Type

Full-time

Experience Level

8-12 years of hands-on experience in data analytics, analytics engineering, or business intelligence within a supply chain, procurement, or operations environment.

Salary/Compensations

$157,000 to $210,000

Benefits

Discretionary bonus
Equity awards
Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

About the Company

The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Equal Opportunity

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.